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GPT-5.4 Nano vs Muse Spark 1.1

Muse Spark 1.1 leads GPT-5.4 Nano on coding, 70.3 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.4x less per output token ($1.25 vs $4.25 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Muse Spark 1.1
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
1
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
66
vs boards won of 67 shared

GPT-5.4 Nano or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 3.4x cheaper ($1.25 vs $4.25 per million) and a lower cost per solved task ($0.14 against $0.43).

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
67
GPT-5.4 Nano only
18
Muse Spark 1.1 only
37
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5.4 Nano 44.8 from 2 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Math, 19.9 points apart on average over 3 shared benchmarks.
Widest single gap
SimpleQA Verified: GPT-5.4 Nano 11.7% against Muse Spark 1.1 57.8%, 46.1 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Muse Spark 1.1 $4.25 per million output tokens, 3.4x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Muse Spark 1.1 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-5.4 NanoBarsMuse Spark 1.1Ties
Coding09
Intelligence02
Agentic work04
Reasoning19
Math03
Knowledge010
General029
All shared boards166
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
LMArena WebDevNot measured1542Only Muse Spark 1.1 measured
AA Coding Index56.171.3Muse Spark 1.1
LiveCodeBench (Vals AI)84.0%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)69.8%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)26.1%72.2%Muse Spark 1.1
Code migration (Vals AI)14.5%31.1%Muse Spark 1.1
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)41.6%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCode47.2%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding14041498Muse Spark 1.1
LMArena Text: software and IT14021498Muse Spark 1.1
LMArena WebDev: ReactNot measured1532Only Muse Spark 1.1 measured
LMArena WebDev: HTMLNot measured1540Only Muse Spark 1.1 measured
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SWE Atlas: Codebase QnANot measured42.2%Only Muse Spark 1.1 measured
SWE Atlas: Test WritingNot measured41.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
AA Intelligence Index20.733.7Muse Spark 1.1
Epoch Capabilities Index146.0154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
AA Agentic Index16.025.8Muse Spark 1.1
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1175Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1145Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1134Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1021Only Muse Spark 1.1 measured
Finance Agent (Vals AI)38.2%57.2%Muse Spark 1.1
Tax Agent Bench (Vals AI)5.0%Not measuredOnly GPT-5.4 Nano measured
Legal Research Bench (Vals AI)6.3%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)44.8%56.4%Muse Spark 1.1
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
MCP AtlasNot measured88.1%Only Muse Spark 1.1 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
GPQA Diamond77.5%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)73.6%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)81.7%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)28.3%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%34.0%GPT-5.4 Nano
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811485Muse Spark 1.1
LMArena Text: expert13961478Muse Spark 1.1
LMArena Text: hard prompts in English13871480Muse Spark 1.1
LMArena Vision: diagrams12101305Muse Spark 1.1
LMArena Vision: homework12251287Muse Spark 1.1
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%39.0%Muse Spark 1.1
LMArena Text: math14051482Muse Spark 1.1
LMArena Text: mathematical work14091487Muse Spark 1.1
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
MMLU Pro77.2%88.7%Muse Spark 1.1
LegalBench (Vals AI)77.9%85.0%Muse Spark 1.1
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%71.3%Muse Spark 1.1
TaxEval (Vals AI)67.4%79.7%Muse Spark 1.1
MortgageTax (Vals AI)59.1%66.1%Muse Spark 1.1
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
SimpleQA Verified11.7%57.8%Muse Spark 1.1
LMArena Text: science13741484Muse Spark 1.1
LMArena Text: medicine and healthcare13691479Muse Spark 1.1
LMArena Text: legal and government13681481Muse Spark 1.1
LMArena Text: business and finance13661470Muse Spark 1.1
PRBench FinanceNot measured55.0%Only Muse Spark 1.1 measured
PRBench LegalNot measured57.0%Only Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
Design Arena: websitesNot measured1270Only Muse Spark 1.1 measured
Design Arena: UI componentsNot measured1287Only Muse Spark 1.1 measured
Design Arena: game devNot measured1269Only Muse Spark 1.1 measured
Design Arena: data vizNot measured1267Only Muse Spark 1.1 measured
Design Arena: 3DNot measured1259Only Muse Spark 1.1 measured
Design Arena: all code categoriesNot measured1276Only Muse Spark 1.1 measured
Design Arena: SVGNot measured1234Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1269Only Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index029
General benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)38.1%45.6%Muse Spark 1.1
MedScribe (Vals AI)77.1%88.9%Muse Spark 1.1
Vals Multimodal Index47.6%66.7%Muse Spark 1.1
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%77.7%Muse Spark 1.1
DTBench80.3%94.4%Muse Spark 1.1
LMCA36.9%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text13721478Muse Spark 1.1
LMArena Text: instruction following13621457Muse Spark 1.1
LMArena Text: creative writing13151435Muse Spark 1.1
LMArena Vision11961293Muse Spark 1.1
LMArena Text: English13811478Muse Spark 1.1
LMArena Text: non-English13591471Muse Spark 1.1
LMArena Text: Chinese13911515Muse Spark 1.1
LMArena Text: German13681469Muse Spark 1.1
LMArena Text: Japanese13431450Muse Spark 1.1
LMArena Text: Korean13211459Muse Spark 1.1
LMArena Text: French13951492Muse Spark 1.1
LMArena Text: Spanish13711464Muse Spark 1.1
LMArena Text: Russian13631482Muse Spark 1.1
LMArena Text: Polish13661499Muse Spark 1.1
LMArena Text: multi-turn13821484Muse Spark 1.1
LMArena Text: longer queries13651462Muse Spark 1.1
LMArena Text: writing and language13381448Muse Spark 1.1
LMArena Text: entertainment and media13251438Muse Spark 1.1
LMArena Vision: English12021292Muse Spark 1.1
LMArena Vision: Chinese12321348Muse Spark 1.1
LMArena Vision: reading text12041301Muse Spark 1.1
LMArena Vision: humor11611288Muse Spark 1.1
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing11591253Muse Spark 1.1
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
MultiChallengeNot measured75.3%Only Muse Spark 1.1 measured
EQ-Bench 4Not measured1260Only Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Nano and Muse Spark 1.1
BenchmarkGPT-5.4 NanoMuse Spark 1.1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5.4 Nano$0.0008Fits in one request
Muse Spark 1.1$0.0034Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Muse Spark 1.1$0.075Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Muse Spark 1.1$0.292Fits in one request

GPT-5.4 Nano costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5.4 Nano and Muse Spark 1.1
SpecificationOpenAI GPT-5.4 NanoMeta Muse Spark 1.1
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026July 16, 2026
Context window400K1.05M
Input $/Mtok$0.20$1.25
Output $/Mtok$1.25$4.25
Coding index44.870.3
Independent measurements behind it23
Cost per solved task$0.14$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 3.4x cheaper ($1.25 vs $4.25 per million) and a lower cost per solved task ($0.14 against $0.43).

Which is cheaper, GPT-5.4 Nano or Muse Spark 1.1?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Muse Spark 1.1 $0.43.

Which has the bigger context window, GPT-5.4 Nano or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.4 Nano vs Muse Spark 1.1 comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-nano-vs-meta-muse-spark-1-1">LLMBenchmark.ai, GPT-5.4 Nano vs Muse Spark 1.1</a></p>